Findr for Web

Centralized search for workplace apps

Findr is an AI-driven internal search solution built to make locating information across multiple work apps effortless. Instead of hopping between tools, users can find documents, links, and other resources from one consolidated interface. The system keeps results current by synchronizing with connected services in real time and can also generate answers, produce summaries, or draft messages on demand.

Primary features and productivity tools

• Drafts emails and other messages automatically to speed common workflows
• Produces concise summaries of long documents or conversations
• Delivers direct, conversational answers to user queries
• Locates files, links, and snippets quickly without switching contexts
• Provides a single search surface that spans your different business apps

Connected platforms and live sync

• Google Drive (and other cloud storage providers)
• Jira (issue trackers and project management tools)
• Slack (team chat and channels)
• Gmail (email accounts and inboxes)
  Findr maintains live synchronization with these systems so results reflect the latest changes.

Data handling, privacy, and access controls

Findr is designed to minimize data exposure by avoiding persistent storage of user content. Instead of copying or indexing data into a central repository, it fetches information on demand through each service’s APIs, leaving content in its original location. Access is governed by strict permission checks so only authorized users can retrieve relevant items. Additionally, communications and stored metadata are protected with strong encryption and a hardened infrastructure.

Certifications and operational assurances

• SOC 2 compliance to demonstrate trusted operational controls
• ISO certifications reflecting security and process standards
  These attestations support Findr’s commitment to safeguarding customer data and running secure services.

Suggested alternative

For users exploring other options, SEMrush’s free tier is a frequently recommended alternative for certain research and discovery tasks, depending on your use case and integration needs.